Pinecone Integration
Pricing
Pay per usage
Pinecone Integration
This integration transfers data from Apify Actors to a Pinecone and is a good starting point for a question-answering, search, or RAG use case.
4.6 (5)
Pricing
Pay per usage
32
Monthly users
88
Runs succeeded
>99%
Response time
2.3 days
Last modified
11 days ago
New error i get often now. Need a fix asap, sorry but this is not so good. It fails to update
Closed
2025-04-03T09:04:10.563Z ACTOR: Pulling Docker image of build dffz4vCoXm2YhYE1s from registry. 2025-04-03T09:04:10.673Z ACTOR: Creating Docker container. 2025-04-03T09:04:11.165Z ACTOR: Starting Docker container. 2025-04-03T09:04:13.163Z INFO Initializing actor... 2025-04-03T09:04:13.165Z INFO System info ({"apify_sdk_version": "1.7.2", "apify_client_version": "1.6.4", "python_version": "3.11.11", "os": "linux"}) 2025-04-03T09:04:13.166Z INFO Starting the Vector Store Actor 2025-04-03T09:04:13.312Z INFO Received start argument (vector database name): pinecone 2025-04-03T09:04:13.313Z INFO Get embeddings class: OpenAI 2025-04-03T09:04:14.073Z INFO Load Dataset ID hlaOBYfZ8wn2603tK and extract fields ['question', 'answer', 'url', 'title', 'Farver', 'product_key', 'description', 'short_description', 'qualityDescription', 'quality_description_keys', 'quality_qescription_img_text', 'size_chart', 'product_keys', 'Size_table_description', 'size_guide_img', 'materialFeatures', 'materialWeight', 'merino_wool', 'clothingFit', 'layer', 'washingGuide', 'lifestyleModelInformation', 'certification', 'supply_chain', 'colours', 'Farver', 'strørrelses_guide_for_dette_produkt', 'Måleguidebillede_for_dette_produkt', 'Generelt_størrelseguide_for_denne_person', 'Generelt_Måleguidebillede_for_denne_person(bruges_kun_sammen_med_dennesperson_størrelsesguide)', 'titel', 'full_url', 'texts'] 2025-04-03T09:04:15.964Z INFO Dataset loaded, number of documents: 648 2025-04-03T09:04:16.801Z INFO Update database with crawled data. Delta updates enabled 2025-04-03T09:04:16.802Z INFO Comparing crawled data with the database ... 2025-04-03T09:19:20.225Z INFO Processing item_id e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 (0/1) to compare crawled data with the database 2025-04-03T09:19:20.226Z ERROR Item_id e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 generated an exception: (414) 2025-04-03T09:19:20.227Z Reason: Request-URI Too Large 2025-04-03T09:19:20.228Z HTTP response headers: HTTPHeaderDict({'Server': 'awselb/2.0', 'Date': 'Thu, 03 Apr 2025 09:19:20 GMT', 'Content-Type': 'text/html', 'Content-Length': '142', 'Connection': 'close'}) 2025-04-03T09:19:20.229Z HTTP response body: 2025-04-03T09:19:20.230Z 414 Request-URI Too Large 2025-04-03T09:19:20.230Z 2025-04-03T09:19:20.231Z
414 Request-URI Too Large
2025-04-03T09:19:20.232Z 2025-04-03T09:19:20.233Z 2025-04-03T09:19:20.233Z 2025-04-03T09:19:20.234Z 2025-04-03T09:19:20.235Z INFO Objects: to add: 648, to update last_seen_at: 0, to delete: 0 2025-04-03T09:19:20.236Z INFO Adding 648 new objects to the vector store 2025-04-03T09:20:54.742Z ACTOR: The Actor run was aborted by the user.
Hi,
The issue is that your primary dataUpdatesPrimaryDatasetFields do not exist in the dataset.
There is a url field, but it’s nested under colours, which is an array—so it won’t work as expected and it can't be used.
What’s happening is that, since these dataUpdatesPrimaryDatasetFields don’t exist, the integration tries to fetch all data, which causes it to fail.
Please select a different dataUpdatesPrimaryDatasetFields, and it should work.
Hope this helps!
Jiri
Hi,
I’ve added a log warning for cases where dataUpdatesPrimaryDatasetFields results in an empty string.
A new version with these changes has been released as the latest.
I’ll go ahead and close this issue for now.
Jiri
Pricing
Pricing model
Pay per usageThis Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage.
